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Bug 1931277 - [128esr] glean-parser PR: Support for Configuring a Subset of Interesting Metrics to Collect. r=TravisLong a=pascalc

Browse source 
Apply https://github.com/mozilla/glean_parser/pull/774

Differential Revision: https://phabricator.services.mozilla.com/D242675
This commit is contained in:
Magnus Melin 2025-03-26 15:27:43 +00:00
parent 7ea5adab57
commit fa10d681d1
1 changed files with 38 additions and 0 deletions
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38
third_party/python/glean_parser/glean_parser/parser.py vendored
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@ -444,6 +444,8 @@ def parse_objects(
the metric expires.
- `allow_missing_files`: Do not raise a `FileNotFoundError` if any of
the input `filepaths` do not exist.
- `interesting`: Contains an array of interesting metrics/ping files.
Probes not included in these files will be marked as disabled.
"""
if config is None:
config = {}
@ -465,4 +467,40 @@ def parse_objects(
yield from _instantiate_tags(
all_objects, sources, content, filepath, config
)
if config.get("interesting"):
# We're configured to disable probes not included in the interesting list.
filepaths = util.ensure_list(config.get("interesting"))
interesting_metrics_dict: Dict[str, Dict[str, Any]] = dict()
interesting_metrics_dict.setdefault("metrics", DictWrapper())
interesting_metrics_dict.setdefault("pings", DictWrapper())
for filepath in filepaths:
content, filetype = yield from _load_file(filepath, config)
if not isinstance(content, dict):
raise TypeError(f"Invalid content for {filepath}")
for category_key, category_val in sorted(content.items()):
if category_key.startswith("$"):
continue
interesting_metrics_dict.setdefault(category_key, DictWrapper())
if not isinstance(category_val, dict):
raise TypeError(f"Invalid category_val for {category_key}")
for metric_key, metric_val in sorted(category_val.items()):
interesting_metrics_dict[category_key][metric_key] = metric_val
for category_key, category_val in all_objects.items():
if category_key == "tags":
continue
for metric_key, metric_val in sorted(category_val.items()):
category_dict = interesting_metrics_dict.get(category_key, {})
if metric_key not in category_dict:
obj = all_objects[category_key][metric_key]
if hasattr(obj, "disabled"):
obj.disabled = True
return _preprocess_objects(all_objects, config)